• Journal of the Korean Institute of Oriental Medical Informatics
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• v.14 no.2
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• pp.73-79
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• 2008

Objectives : We investigated the correlation of the skin color to blood circulation on the face of Korean female by noninvasive-skin measuring devices. Methods : Korean female(37.47${\pm}$3.66 years, n=36) aged 30-45 years were participated in this study. We measured the skin color of the face with Spectrophotometer CM2600d (Minolta, Japan) and the skin blood flow with Laser Doppler Imaging-Periscan PIM II (Perimed AB, Sweden). The skin color and blood circulation of three groups (30-35 years, 36-40 years, 41-45 years) divided on age were analyzed by paired-t test and regression analysis. Results : The L* values of the skin were decreased and the a* values were increased significantly with age. This means that the more age increase, the more the skin is dark and red. But the skin blood flow was not significantly different with age and skin color. Conclusions : In the oriental medicine, It was reported that the face of the female over 35 years is changed gradually haggard and the blood circulation is decreased. In our study, the blood circulation was not changed and the skin color was dark and red with increasing the age. We think this symptom resulted from the better nutrition than the past, the change of the blood-quality and this changes were too sensitive to be measured by Laser Doppler Imaging system.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07b
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• pp.1175-1178
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• 2005

Nanosize cobalt aluminate($CoAl_2O_4$) power as filter layer was coated to improve the color purityand contrast performances on inner face of CRT panel. We simulated color properties by measuring the transmittance and thickness of the coated filter layer. Contrast performance could be improved and color gamut was also changed because of the selective light absorption of filter layer at $580{\sim}605\;nm$.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.140-145
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• 2009

Significant attention has recently been drawn to human robot interaction system that uses face detection technology. The most conventional face detection methods have applied under pixel domain. These pixel based face detection methods require high computational power. Hence, the conventional methods do not satisfy the robot environment that requires robot to operate in a limited computing process and saving space. Also, compensating the variation of illumination is important and necessary for reliable face detection. In this paper, we propose the illumination invariant face detection that is performed under the compressed domain. The proposed method uses color balancing module to compensate illumination variation. Experiments show that the proposed face detection method can effectively increase the face detection rate under existing illumination.

• Journal of Korea Multimedia Society
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• v.13 no.6
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• pp.833-840
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• 2010

In this paper a method for detecting and extracting the face from the image in YCbCr spaceis proposed. The face region is obtained from the complex original image by using the difference method and the face color information is taken from the reduced face region throughthe Ellipse clustering method. The experimental results showed that the proposed method can efficiently detect and extract the face from the original image under the general light intensity except for low luminance.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.417-417
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• 2000

This paper proposes a face detection and recognition method that combines the template matching method and the eigenface method with the neural network. In the face extraction step, the skin color information is used. Therefore, the search region is reduced. The global property of the face is achieved by the eigenface method. Face recognition is performed by a neural network that can learn the face property.

• The Journal of Pediatrics of Korean Medicine
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• v.16 no.2
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• pp.23-37
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• 2002

We have plenty of study of adults diseases, but not much has been said about children. 79 children who had visited in the weak children of Dongeui Oriental Medical Hospital from March, 2002 to October, 2002, were the respondents of the Weak Child Questionnaire. The results obtained were as follows: 1. Their symptoms have been observed with sequences of respiratory diseases, Digestive diseases, Psycho-neurological diseases. 2. Distribution of sex and ages : male 38 cases, female 41 cases. $0{\sim}6$ years 60 cases, $7{\sim}12$ years 17 cases, $13{\sim}18$ years 2 cases. 3. The texture of complexion was resulted in face color and the region of the face : whitish-2/ cases. yellowish-27 cases, darkish-22 cases, blue-2 cases, flushed face-l case. Sangeun(山根)-blue : 59 cases, a lower eyelid- dark or light brown : 54 cases. the rests of color on face region didn't mean. 4. The texture of tongue was ended in tongue state : tongue form-not plump not haggard patten(57 cases), a pricky patten(12), a map patten(7), a fissured patten(3). tongue color- pink (57 cases), red(16), light white(6). coating color- thin white(61 cases), thin yellow(l0), lack(6), deep and white(2). tongue coating substance-thin(72 cases), moisten(5), dry(1), deep(1).

• Journal of Korea Multimedia Society
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• v.13 no.1
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• pp.66-75
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• 2010

We proposed an occupant sensing system using single video camera and ultrasonic sensor for the advanced airbag. To detect the occupant form and the face position in real-time, we used the skin color and motion information. We made the candidate face block image using the threshold value of the color difference signal corresponding to skin color and difference value of current image and previous image of luminance signal to gel motion information. And then it detects the face by the morphology and the labeling. In case of night without color and luminance information, it detects the face by using the threshold value of the luminance signal get by infra-red LED instead of the color difference signal. To evaluate the performance of the proposed occupant detection system, it performed various experiments through the setting of the IEEE camera, ultrasonic sensor, and infra-red LED in vehicle jig.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.10C
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• pp.621-628
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• 2011

The skin color has been used as important cues in the systems for detecting or recognizmg the face. However, the color difference in images under different illuminants makes it difficult to find out the skin in these systems. For solving the problem, this paper proposes a method of recovering skin colors based on well-known color constancy approaches, such as Retinex, Gray World, White Patch, and Simplified Horn. To acquire experimental images under the colored scene illumination, the effects of colored illuminants were added to source images. Next, result images, having the corrected skin color by the constancy methods, were derived from the source images. The experiment results showed that most of the skin colors in our experiments were recovered into some steady range in the color space, and that Gray World had higher performance than the other methods compared.

• Korean Journal of Human Ecology
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• v.15 no.4
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• pp.611-622
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• 2006

The purpose of this study is to investigate the effect of eyeshadow color (brown, purple, and blue), lipstick color (red, orange, and purple), and lipstick tone(vivid, light, dull, and dark) on the makeup image. The experimental materials used for this study were sets of stimulus and response scales (7 point semantic). The stimuli were 36 color pictures manipulated with the combination of eyeshadow color, lipstick color, and lipstick tone using computer simulation. The subjects were 216 female undergraduates living in Jinju city. The data was analyzed by using SPSS program. Analyzing methods were ANOVA and Duncan test. The result of this study are as follows. Image factor of the stimulus was composed of 4 different components (attractiveness and gracefulness, visibility, cuteness, and softness), Among them, the attractiveness and gracefulness and the visibility were important. Each dimensional image was affected by color coordination of eyeshadow color, lipstick color and lipstick tone. Therefore, the face image through matching eyeshadow and lipstick could be varied by the eyeshadow color, lipstick color and tones.

• The Journal of Korea Robotics Society
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• v.4 no.4
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• pp.257-264
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• 2009

This paper proposes a novel face detection method that finds tiny faces located at a long range even with low-resolution input images captured by a mobile robot. The proposed approach can locate extremely small-sized face regions of $12{\times}12$ pixels. We solve a tiny face detection problem by organizing a system that consists of multiple detectors including a mean-shift color tracker, short- and long-rage face detectors, and an omega shape detector. The proposed method adopts the long-range face detector that is well trained enough to detect tiny faces at a long range, and limiting its operation to only within a search region that is automatically determined by the mean-shift color tracker and the omega shape detector. By focusing on limiting the face search region as much as possible, the proposed method can accurately detect tiny faces at a long distance even with a low-resolution image, and decrease false positives sharply. According to the experimental results on realistic databases, the performance of the proposed approach is at a sufficiently practical level for various robot applications such as face recognition of non-cooperative users, human-following, and gesture recognition for long-range interaction.